Anders Milhøj's Practical Time Series Analysis Using SAS explains and demonstrates through examples how you can use SAS for time series analysis. It offers modern procedures for forecasting, seasonal adjustments, and decomposition of time series that can be used without involved statistical reasoning. The book teaches, with numerous examples, how to apply these procedures with very simple coding. In addition, it also gives the statistical background for interested readers. Beginning with an introductory chapter that covers the practical handling of time series data in SAS using the TIMESERIES and EXPAND procedures, it goes on to explain forecasting, which is found in the ESM procedure; seasonal adjustment, including trading-day correction using PROC X12; and unobserved component models using the UCM procedure.
"Sinopsis" puede pertenecer a otra edición de este libro.
Anders Milhoj is Associate Professor in the Department of Economics at the University of Copenhagen, where he conducts research and lectures on applied statistics topics including survey sampling, regression analysis, time series analysis, and factor analysis. A SAS user since 1984, he employs a variety of SAS procedures in his work, such as SAS/STAT, SAS/IML, SAS/ETS, and SAS/OR. He holds university degrees in statistics and mathematics as well as a Ph.D. in statistics, all from the University of Copenhagen.
"Sobre este título" puede pertenecer a otra edición de este libro.
Librería: ThriftBooks-Atlanta, AUSTELL, GA, Estados Unidos de America
Paperback. Condición: Very Good. No Jacket. Former library book; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less. Nº de ref. del artículo: G1612901700I4N10
Cantidad disponible: 1 disponibles
Librería: Meadowland Media, Fayetteville, AR, Estados Unidos de America
paperback. iT'S NEW ships within 24 hours. Nº de ref. del artículo: H128-071326-S-108
Cantidad disponible: 1 disponibles
Librería: Mispah books, Redhill, SURRE, Reino Unido
Paperback. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Nº de ref. del artículo: ERICA82916129017006
Cantidad disponible: 1 disponibles